OBJECTIVE: Australia's Better Outcomes in Mental Health Care (BOiMHC) programme enables GPs to refer patients with common mental disorders to allied health professionals for time-limited treatment, through its Access to Allied Psychological Services (ATAPS) projects. This paper considers whether patients who receive care through the ATAPS projects make clinical gains, if so, whether particular patient-related and treatment-related variables are predictive of these outcomes. METHOD: Divisions of General Practice (Divisions), which run the ATAPS projects, are required to enter de-identified data into a minimum dataset, including data on patients' socio-demographic and clinical characteristics, the sessions of care they receive, and their clinical outcomes. We extracted data from January 2006 to June 2010, and examined the difference between mean pre- and post-treatment scores on the range of outcome measures being used by Divisions. We then conducted a linear regression analysis using scores on the most commonly-used outcome measure as the outcome of interest. RESULTS: Pre- and post-treatment outcome data were available for 16 700 patients from nine different outcome measures. Across all measures, the mean difference was statistically significant and indicative of clinical improvement. The most commonly-used measure was the Kessler-10 (K-10), and pre- and post-treatment K-10 data were available for 7747 patients. After adjusting for clustering by Division, outcome on the K-10 was associated with age, levels of income and education, previous receipt of mental health care, number of sessions, treatment received and pre-treatment K-10 score. The benchmark was sufficiently high, however, that even the groups that fared relatively less well still showed strong improvement in absolute terms. CONCLUSIONS: Patients who receive care through the ATAPS projects are making considerable clinical gains. A range of socio-demographic, clinical and treatment-based variables are associated with the levels of outcomes achieved, but improvements are still substantial even for those in the relatively disadvantaged groups.
OBJECTIVE: Australia's Better Outcomes in Mental Health Care (BOiMHC) programme enables GPs to refer patients with common mental disorders to allied health professionals for time-limited treatment, through its Access to Allied Psychological Services (ATAPS) projects. This paper considers whether patients who receive care through the ATAPS projects make clinical gains, if so, whether particular patient-related and treatment-related variables are predictive of these outcomes. METHOD: Divisions of General Practice (Divisions), which run the ATAPS projects, are required to enter de-identified data into a minimum dataset, including data on patients' socio-demographic and clinical characteristics, the sessions of care they receive, and their clinical outcomes. We extracted data from January 2006 to June 2010, and examined the difference between mean pre- and post-treatment scores on the range of outcome measures being used by Divisions. We then conducted a linear regression analysis using scores on the most commonly-used outcome measure as the outcome of interest. RESULTS: Pre- and post-treatment outcome data were available for 16 700 patients from nine different outcome measures. Across all measures, the mean difference was statistically significant and indicative of clinical improvement. The most commonly-used measure was the Kessler-10 (K-10), and pre- and post-treatment K-10 data were available for 7747 patients. After adjusting for clustering by Division, outcome on the K-10 was associated with age, levels of income and education, previous receipt of mental health care, number of sessions, treatment received and pre-treatment K-10 score. The benchmark was sufficiently high, however, that even the groups that fared relatively less well still showed strong improvement in absolute terms. CONCLUSIONS:Patients who receive care through the ATAPS projects are making considerable clinical gains. A range of socio-demographic, clinical and treatment-based variables are associated with the levels of outcomes achieved, but improvements are still substantial even for those in the relatively disadvantaged groups.
Authors: David A Richards; Peter Bower; Christina Pagel; Alice Weaver; Martin Utley; John Cape; Steve Pilling; Karina Lovell; Simon Gilbody; Judy Leibowitz; Lilian Owens; Roger Paxton; Sue Hennessy; Angela Simpson; Steve Gallivan; David Tomson; Christos Vasilakis Journal: Implement Sci Date: 2012-01-16 Impact factor: 7.327
Authors: Stuart A Green; Emmi Honeybourne; Sylvia R Chalkley; Alan J Poots; Thomas Woodcock; Geraint Price; Derek Bell; John Green Journal: BMJ Open Date: 2015-05-20 Impact factor: 2.692